A BIM-based housing steel structure quality inspection data management system

Abstract

The application belongs to the technical field of housing steel structure quality inspection data management, and specifically discloses a housing steel structure quality inspection data management system based on BIM, which comprises a data detection module, a structure analysis module, an installation analysis module, an abnormality confirmation module and an abnormality feedback terminal. The application compares the measured value of the component size with the reference value to mark the size deviation component, combines the multi-dimensional analysis of the thickness deviation and thickness distribution uniformity of the corrosion-resistant layer, and carries out two-dimensional deviation evaluation based on the mechanical strength and the protection performance, so as to ensure the structure bearing capacity of the component, thereby avoiding the corrosion of steel caused by insufficient corrosion-resistant layer. Meanwhile, the multi-dimensional deviation of the installation data, such as the position coordinates, position inclination angle, welding lap amount, welding cavity area and soldering amount, of the component and the standard data is determined, the installation deviation component is comprehensively determined, the quantitative evaluation of the steel structure installation precision is realized, and the reliability of the component installation is effectively ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of building steel structure quality inspection data management, and relates to a building steel structure quality inspection data management system based on BIM. Background Art

[0002] A steel structure is a building system with steel as its primary load-bearing framework. Steel sections or steel plates are assembled into core components such as beams, columns, and trusses through welding and other methods, forming the building's support framework. Components are rigidly connected through joints, requiring extremely high installation precision and weld quality, necessitating quality inspection.

[0003] For example, the Chinese invention patent with publication number CN119358119A discloses a method and system for deepening the design of a high-rise building steel structure model based on BIM. First, the data of the high-rise building project is obtained and processed to obtain the keyword vector of the high-rise building project, and then the keyword vector is retrieved in combination with the data-driven model reuse method to obtain the most similar existing BIM model. The in-depth design of the high-rise building steel structure is carried out according to the data of the most similar existing BIM model to obtain the initial in-depth high-rise building steel structure model. The initial in-depth high-rise building steel structure model is obtained and processed to obtain a set of wind resistance monitoring points. A wind resistance test of the initial in-depth high-rise building steel structure model is carried out according to the simulated wind load CFD model to obtain the wind resistance index of the wind resistance monitoring point. If it is greater than the preset wind resistance index threshold, the steel structure is adjusted. Until the wind resistance index of all wind resistance monitoring points is less than or equal to the preset wind resistance index threshold, the in-depth high-rise building steel structure model is obtained.

[0004] The above existing technologies have the following deficiencies: 1. Currently, they are only based on a single dimension of wind resistance performance, and do not consider the impact of basic quality parameters such as dimensional deviation and anti-corrosion layer thickness during steel structure construction on the quality of steel structure, resulting in the lack of mechanical properties and durability evaluation of steel structures.

[0005] 2. Currently, only the impact of wind on steel structures is considered, without considering the impact of installation characteristics on the quality of steel structures during actual construction. The impact of installation accuracy and welding quality on structural safety is ignored, making it impossible to achieve precise control of the construction process. Summary of the Invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a BIM-based house steel structure quality inspection data management system is proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a BIM-based house steel structure quality inspection data management system, including: a data detection module, which detects the structural data and installation data of each component in the house steel structure, the structural data includes the actual measured values ​​of each dimension and the thickness of the anti-corrosion layer of each anti-corrosion detection point, and the installation data includes the position coordinates, position inclination, and the welding overlap amount, welding void area and solder amount of each adjacent component.

[0008] The structural analysis module matches and analyzes the structural data with the structural standard data in the BIM model to determine whether there are structural deviations in each component.

[0009] The installation analysis module matches and verifies the installation data with the installation standard data in the BIM model, and obtains the installation deviation judgment result of the component through spatial coordinate solution and deviation calculation.

[0010] The abnormality confirmation module conducts a comprehensive correlation analysis on the structural deviation and installation deviation judgment results of the same component to identify abnormal components and corresponding abnormality types.

[0011] The abnormal feedback terminal provides corresponding feedback on each abnormal component and its abnormal type.

[0012] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention compares the actual measured value of the component size with the reference value to mark the size deviation component, and combines the multi-dimensional analysis of the thickness deviation and thickness distribution uniformity of the anti-corrosion layer, and evaluates the two-dimensional deviation based on mechanical strength and protective performance, thereby ensuring the structural bearing capacity of the component and avoiding the corrosion of steel caused by insufficient anti-corrosion layer, thereby ensuring the structural durability of the component.

[0013] (2) The present invention combines structural deviation and installation deviation to make abnormality judgments, and judges the abnormality type accordingly, thereby avoiding missed judgments in a single dimension, improving the accuracy of steel structure quality inspection, and providing a basis for subsequent abnormality positioning.

[0014] (3) The present invention determines the multi-dimensional deviation between the installation data and the standard data, such as the position coordinates, position inclination, welding overlap, welding void area and solder amount of the components, and comprehensively determines the installation deviation components, thereby achieving a quantitative evaluation of the installation accuracy of the steel structure and effectively ensuring the reliability of the component installation.

[0015] (4) In the analysis of the deviation of the thickness of the anti-corrosion layer, the present invention performs a dual analysis of the thickness distribution uniformity between the detection points and the comparison of the thickness requirement range of the anti-corrosion layer, thereby ensuring the uniformity of the thickness distribution of the anti-corrosion layer and the compliance of the thickness value, thereby avoiding the risk of rust caused by local anti-corrosion defects. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 This is a schematic diagram of the connection of various modules of the system of the present invention.

[0018] Figure 2 Schematic diagram of the connection steps for determining whether a component of the present invention has structural deviation.

[0019] Figure 3 It is a connection diagram of the steps for determining the installation deviation of the components of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a BIM-based house steel structure quality inspection data management system, which includes: a data detection module, a structure analysis module, an installation analysis module, an abnormality confirmation module and an abnormality feedback terminal.

[0022] In the above, the data detection module is connected to the structure analysis module and the installation analysis module respectively, and the abnormality confirmation module is also connected to the structure analysis module, the installation analysis module and the abnormality feedback terminal respectively.

[0023] The data detection module detects the structural data and installation data of each component in the steel structure of the house. The structural data includes the actual measured values ​​of each dimension and the thickness of the anti-corrosion layer at each anti-corrosion detection point. The installation data includes the position coordinates, position inclination, and the welding overlap, welding void area and solder amount of each adjacent component.

[0024] It should be added that the actual measured value of the size is obtained by detection with a laser rangefinder, the thickness of the anti-corrosion layer is obtained by detection with an ultrasonic thickness gauge, the position coordinates are obtained by detection with a total station, the position inclination is obtained by detection with an inclination sensor, the welding overlap amount of adjacent components is obtained by detection with a laser vision sensor, the welding void area is obtained by detection with an ultrasonic flaw detector, and the solder amount is obtained by detection with a weight sensor.

[0025] The structural analysis module matches and analyzes the structural data with the structural standard data in the BIM model to determine whether there is a structural deviation in each component.

[0026] See also Figure 2 As shown, exemplarily, the determining whether each component has a structural deviation includes: performing deviation calculation on the measured value of each dimension of each component and the corresponding dimension reference value in its structural standard data to obtain the dimension deviation value of each component.

[0027] The dimensional deviation values ​​of each component are compared with the corresponding dimensional deviation thresholds in the structural standard data, and components with dimensional deviation values ​​exceeding the dimensional deviation thresholds are screened out and marked as dimensional deviation components.

[0028] It should be added that the actual measured dimension values ​​refer to the geometric dimension data obtained through on-site measurement of the steel structure components of the house, including but not limited to cross-sectional dimensions, length dimensions and form and position dimensions.

[0029] It's important to note that dimensional deviations in building steel structures can directly alter the cross-sectional characteristics and geometry of components, thereby affecting their load-bearing capacity. This weakening of load-bearing capacity can cause components to deform, crack, or even break under normal operating loads, seriously threatening structural safety. Furthermore, dimensional deviations can lead to inaccurate component installation, impacting subsequent equipment installation and the realization of building functionality. For example, deviations in the elevation of steel beams can cause misalignment of upper-level components, while deviations in the dimensional characteristics of equipment foundations can prevent proper installation. Therefore, dimensional monitoring and analysis are essential during steel structure quality inspections.

[0030] Compare the thickness of the anti-corrosion layer at each anti-corrosion inspection point with the corresponding anti-corrosion layer thickness requirement range in the structural standard data to identify components with thickness deviations.

[0031] It's important to note that steel structures are primarily constructed of steel, which is susceptible to electrochemical or chemical corrosion in the natural environment due to its interactions with air, moisture, and corrosive media. Anti-corrosion coatings significantly slow the corrosion process of steel through both physical isolation and chemical protection. If the coating is insufficiently thick, its integrity is compromised, or its performance substandard, the steel will be directly exposed to the corrosive environment, leading to gradual rust and thinning of the cross-section, ultimately weakening the component's load-bearing capacity. Therefore, monitoring and analyzing the thickness of the anti-corrosion coating is essential during steel structure quality inspections.

[0032] Furthermore, the identifying of components with thickness deviations includes: comparing the thickness of the anti-corrosion layer with a required range of the anti-corrosion layer thickness.

[0033] The anti-corrosion monitoring points whose anti-corrosion layer thickness is not within the required anti-corrosion layer thickness range are regarded as abnormal anti-corrosion monitoring points.

[0034] The number of abnormal monitoring points contained in each component is counted, and the component with at least one abnormal monitoring point is determined to be a component with thickness deviation.

[0035] Based on the thickness of the anti-corrosion layer at each anti-corrosion detection point, statistical methods are used to analyze the uniformity of the overall thickness distribution of the component.

[0036] Furthermore, the use of statistical methods to analyze the uniformity of the overall thickness distribution of the component includes: combining the anti-corrosion detection points of the component in pairs to obtain anti-corrosion detection groups.

[0037] The thickness of the anti-corrosion layer in each anti-corrosion detection group is differentiated, and the absolute value of the difference is used as the difference in the thickness of the anti-corrosion layer in each anti-corrosion detection group.

[0038] The difference in anti-corrosion layer thickness of each anti-corrosion test group is compared with the preset benchmark anti-corrosion layer thickness difference.

[0039] It should be added that the preset benchmark anti-corrosion layer thickness difference is obtained based on the standard for uniformity of anti-corrosion layer thickness for steel structures in the industry standard.

[0040] If the anti-corrosion layer thickness difference is greater than the preset benchmark anti-corrosion layer thickness difference, the anti-corrosion detection group is marked as a thickness deviation detection group.

[0041] The components in the thickness deviation detection group are regarded as components with uneven thickness distribution.

[0042] Components with thickness deviation or uneven thickness distribution are judged as components with anti-corrosion layer thickness deviation.

[0043] It's important to note that the anti-corrosion layer thickness must meet design requirements to form an effective physical barrier, isolating the steel from the corrosive medium. If the thickness is insufficient, the steel is susceptible to direct contact with the corrosive medium, leading to rust. Furthermore, even if the average thickness meets the standard, if the thickness is too thin in a certain area, it can still become a corrosion breakthrough point, leading to widespread corrosion spread. Thickness deviation analysis ensures that the overall thickness of the anti-corrosion layer meets design requirements, preventing degradation of protective performance due to insufficient thickness. Furthermore, thickness uniformity analysis helps mitigate the risk of corrosion caused by localized weakness. This improves the accuracy of anti-corrosion layer durability assessments.

[0044] Components with size deviation or anti-corrosion layer thickness deviation are uniformly marked as structural deviation components, and then various structural deviation components are obtained.

[0045] In the analysis of the deviation of the thickness of the anti-corrosion layer, the embodiment of the present invention performs a dual analysis of the thickness distribution uniformity between the detection points and the comparison of the required range of the thickness of the anti-corrosion layer, thereby ensuring the uniformity of the thickness distribution of the anti-corrosion layer and the compliance of the thickness value, thereby avoiding the risk of rust caused by local anti-corrosion defects.

[0046] It should be added that the purpose of selecting component size and anti-corrosion layer thickness for structural deviation analysis is to ensure the structural quality of the component from the two dimensions of mechanical properties and durability. The size deviation analysis ensures that the component meets the load-bearing and assembly requirements, and the anti-corrosion layer thickness analysis ensures that the component has the service life required by the design. The two together constitute the structural safety basis of the component.

[0047] The embodiment of the present invention compares the actual measured value of the component size with the reference value to mark the size deviation component, and combines the multi-dimensional analysis of the thickness deviation and thickness distribution uniformity of the anti-corrosion layer, and conducts a two-dimensional deviation evaluation based on mechanical strength and protective performance, thereby ensuring the structural bearing capacity of the component and avoiding steel corrosion caused by insufficient anti-corrosion layer, thereby ensuring the structural durability of the component.

[0048] The installation analysis module matches and verifies the installation data with the installation standard data in the BIM model, and obtains the component installation deviation determination result through spatial coordinate solution and deviation calculation.

[0049] See also Figure 3 As shown, exemplarily, the component installation deviation determination includes: performing deviation analysis on the position coordinates and position inclination of each component with the corresponding reference position coordinates and reference position inclination in the installation standard data to obtain each installation position deviation component.

[0050] It should be noted that positional coordinate deviations can alter the spatial position of components, thereby changing the force transmission path of the entire structure, leading to localized force concentration or internal force redistribution. Positional inclination deviations can also alter the force pattern of components. For example, vertical deviations in a column can cause it to shift from axial compression to eccentric compression, significantly reducing its load-bearing capacity. By calculating coordinate and inclination deviations, installation position deviations are converted into quantifiable safety indicators. By also considering the coupling effect of the two, the blind spots of single-metric assessments are avoided.

[0051] Furthermore, the analysis of each component with installation position deviation includes: calculating the spatial coordinate deviation between the position coordinates of each component and its reference position coordinates by using a Euclidean distance calculation formula.

[0052] The position inclination angle of each component is subtracted from its reference inclination angle, and the absolute value of the difference is used as the position inclination angle deviation of each component.

[0053] The spatial coordinate deviation and position inclination deviation of each component are compared with the corresponding spatial coordinate deviation threshold and position inclination deviation threshold in the installation standard data respectively.

[0054] Components with a spatial coordinate deviation greater than a spatial coordinate deviation threshold or a position inclination deviation greater than a position inclination deviation threshold are determined to be components with installation position deviation, and then various components with installation position deviation are obtained.

[0055] Based on the welding overlap amount of each component and its adjacent components, a relative deviation analysis is performed in combination with the corresponding benchmark welding overlap amount in the installation standard data to obtain the components with each installation welding overlap deviation.

[0056] It should be added that the welding overlap refers to the size of the overlapping part when adjacent components are welded. The welding overlap that meets the standard ensures that the weld can effectively transfer the load between components, while avoiding insufficient weld length and insufficient fusion due to insufficient overlap, which in turn causes connection failure. Therefore, the welding overlap needs to be monitored and analyzed during the quality inspection of steel structures.

[0057] Furthermore, the analysis of each installation welding overlap deviation component includes: performing relative deviation analysis on the welding overlap amount and its reference welding overlap amount to obtain the installation welding overlap deviation degree of each component and its adjacent components.

[0058] The maximum value is selected from the installation welding overlap deviations as the reference installation welding overlap deviation of each component.

[0059] The reference installation welding overlap deviation is compared with its preset installation welding overlap deviation threshold, and components whose reference installation welding overlap deviation is greater than its preset installation welding overlap deviation threshold are taken as each installation welding overlap deviation component.

[0060] It should be added that the preset installation welding lap deviation threshold is obtained based on a limited number of test data, and the acquisition method is: steel structure specimens with different installation welding lap deviations are selected, and axial pressure tests are performed on a hydraulic testing machine. When the bearing capacity of the steel structure specimen is lower than the safety factor of the design value, the critical deviation is recorded, and the maximum allowable deviation that will cause the bearing capacity to drop to the safety critical point is used as the preset installation welding lap deviation threshold.

[0061] The installation welding void deviation analysis is performed on the welding void areas of each component and its adjacent components and the corresponding welding void reference values ​​in the installation standard data to obtain the components with various installation welding void deviations.

[0062] It's important to note that weld voids are volumetric defects in welded joints, and their size directly affects the weld's load-bearing capacity and joint density. The higher the void area, the smaller the effective load-bearing area, leading to a decrease in load-bearing capacity. Voids also disrupt the continuous medium properties of the weld, causing discontinuous load transfer and leading to localized stress concentration. Therefore, monitoring and analyzing weld void area is essential during steel structure quality inspections.

[0063] Furthermore, the analysis of each installed weld void deviation component includes: selecting the maximum value from each weld void area of ​​the same component as the maximum weld void area of ​​each component.

[0064] The areas of each welding void of the same component are counted to obtain the total welding void area of ​​each component, and the ratio of the total welding void area to the weld area is used as the void rate of each component.

[0065] The maximum weld void area and void ratio are compared with the corresponding weld void threshold and void ratio threshold in the weld void reference value respectively.

[0066] Components whose maximum weld void area is greater than the weld void threshold or whose void rate is greater than the void rate threshold are selected as components with weld void deviation in each installation.

[0067] It should be noted that the maximum weld void area reflects the extreme hazard of local defects, while the void ratio reflects the overall distribution density of defects. The combination of the two covers the dual assessment needs of local extreme risks and overall performance degradation.

[0068] The solder amount of each component and its adjacent components is compared and analyzed with the corresponding reference solder amount range in the installation standard data to determine whether the installation solder amount of each component deviates.

[0069] It's important to note that insufficient solder will directly lead to insufficient weld thickness, which in turn prevents the full transfer of load. Excessive or insufficient solder can also cause defects such as pores and shrinkage, compromising the joint's tightness. Therefore, monitoring and analyzing solder quantity is essential during steel structure quality inspections. Specifically, insufficient solder can reduce the weld's shear strength, making it difficult to meet the steel structure's wind and earthquake resistance requirements. Incorrect solder quantity can also lead to irregular weld cross-sections, causing stress concentration and compromising structural safety and stability.

[0070] Furthermore, the determining whether the amount of installed solder of each component deviates includes: comparing the solder amount with a reference solder amount range; if the solder amount is within the range, determining that the solder amount is qualified; if the solder amount is not within the range, determining that the solder amount deviates.

[0071] If there is a solder amount deviation in the component, the component is judged to be a component with an installed solder amount deviation. Otherwise, the component is judged to be a component with a qualified installed solder amount.

[0072] The installation position deviation component, the installation welding overlap deviation component, the installation welding void deviation component and the installation solder amount deviation component are summarized as various installation deviation components.

[0073] The embodiment of the present invention comprehensively determines the installation deviation components by judging the multi-dimensional deviation between the installation data and the standard data, such as the position coordinates, position inclination, welding overlap, welding void area and solder amount of the components, thereby achieving a quantitative evaluation of the installation accuracy of the steel structure and effectively ensuring the reliability of the component installation.

[0074] The abnormality confirmation module performs a comprehensive correlation analysis on the structural deviation and installation deviation judgment results of the same component to identify abnormal components and corresponding abnormality types.

[0075] Exemplarily, the identifying of abnormal components and corresponding abnormal types includes: determining components with structural deviations or installation deviations as abnormal components, and then obtaining each abnormal component.

[0076] If only structural deviation exists in the abnormal component, its abnormality type is determined to be structural abnormality.

[0077] If only installation deviation exists in the abnormal component, the abnormality type is determined to be installation abnormality.

[0078] If there are structural deviations and installation deviations in the abnormal component, the abnormality type is determined to be a comprehensive abnormality.

[0079] The embodiment of the present invention combines structural deviation and installation deviation to make abnormality judgments, and determines the abnormality type accordingly, thereby avoiding missed judgments in a single dimension, improving the accuracy of steel structure quality inspection, and providing a basis for subsequent abnormality positioning.

[0080] The abnormality feedback terminal provides corresponding feedback on each abnormal component and its abnormality type.

[0081] The above formulas are all dimensionless and numerical calculations. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formulas are set by technicians in this field according to actual conditions.

[0082] The above embodiments may be implemented in whole or in part through software, hardware, firmware or any other combination. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0083] Those skilled in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0084] In addition, each function module in each embodiment of the present application can be integrated in one processing module, or each module can be physically present alone, or two or more modules can be integrated in one module.

[0085] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0086] Finally, the above is only a preferred embodiment of the present application, and is not used to limit the present application, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A BIM-based building steel structure quality inspection data management system, characterized by: include: The data detection module detects the structural data and installation data of each component in the house steel structure. The structural data at least includes the measured values ​​of each dimension and the thickness of the anti-corrosion layer at each anti-corrosion detection point. The installation data at least includes the position coordinates, position inclination, and the weld overlap amount, weld void area, and solder amount of each adjacent component. The structural analysis module matches and analyzes the structural data with the structural standard data in the BIM model to determine whether there are structural deviations in each component; The installation analysis module matches and verifies the installation data with the installation standard data in the BIM model, and obtains the component installation deviation determination result through spatial coordinate solution and deviation calculation; The abnormality confirmation module conducts a comprehensive correlation analysis on the structural deviation and installation deviation judgment results of the same component, identifies abnormal components and determines the corresponding abnormality type; The abnormality feedback terminal provides corresponding feedback on each abnormal component and its abnormality type; Determining whether each component has structural deviation includes: Calculate the deviation between the measured value of each dimension of each component and the corresponding dimension reference value in its structural standard data to obtain the dimension deviation value of each component; Compare the dimensional deviation values ​​of each component with the corresponding dimensional deviation thresholds in the structural standard data, and select components whose dimensional deviation values ​​exceed the dimensional deviation thresholds and mark them as dimensional deviation components; Compare the thickness of the anti-corrosion layer at each anti-corrosion inspection point with the corresponding anti-corrosion layer thickness requirement range in the structural standard data to identify components with thickness deviations; Based on the thickness of the anti-corrosion layer at each anti-corrosion detection point, the overall thickness distribution uniformity of the component is analyzed using statistical methods; Components with thickness deviation or uneven thickness distribution are judged as components with anti-corrosion layer thickness deviation; Components with size deviation or anti-corrosion layer thickness deviation are uniformly marked as structural deviation components, and then various structural deviation components are obtained.

2. The BIM-based building steel structure quality inspection data management system according to claim 1 is characterized by: The identifying component with thickness deviation includes: Comparing the thickness of the anti-corrosion layer with the required range of the anti-corrosion layer thickness; The anti-corrosion monitoring point where the anti-corrosion layer thickness is not within the required anti-corrosion layer thickness range shall be regarded as an abnormal anti-corrosion monitoring point; The number of abnormal monitoring points contained in each component is counted, and the component with at least one abnormal monitoring point is determined to be a component with thickness deviation.

3. The BIM-based building steel structure quality inspection data management system according to claim 1 is characterized by: The use of statistical methods to analyze the uniformity of the overall thickness distribution of the component includes: The anti-corrosion inspection points of the components are combined in pairs to obtain anti-corrosion inspection groups; Differences in the thickness of the anti-corrosion layer within each anti-corrosion test group are made, and the absolute value of the difference is taken as the difference in the thickness of the anti-corrosion layer of each anti-corrosion test group; Compare the anti-corrosion layer thickness difference of each anti-corrosion test group with the preset benchmark anti-corrosion layer thickness difference; If the anti-corrosion layer thickness difference is greater than the preset reference anti-corrosion layer thickness difference, the anti-corrosion detection group is marked as a thickness deviation detection group; The components in the thickness deviation detection group are regarded as components with uneven thickness distribution.

4. The BIM-based building steel structure quality inspection data management system according to claim 1 is characterized by: The installation deviation determination of the component includes: Perform deviation analysis on the position coordinates and position inclination of each component and the corresponding reference position coordinates and reference position inclination in the installation standard data to obtain the components with different installation position deviations; Based on the welding overlap amount of each component and its adjacent components, the relative deviation analysis is carried out in combination with the corresponding benchmark welding overlap amount in the installation standard data to obtain the components with the welding overlap deviation of each installation; Perform installation welding void deviation analysis on the welding void area of ​​each component and its adjacent components and the corresponding welding void reference value in the installation standard data to obtain the components with the installation welding void deviation; Compare and analyze the solder amount of each component and its adjacent components with the corresponding reference solder amount range in the installation standard data to determine whether the installation solder amount of each component deviates; The installation position deviation component, the installation welding overlap deviation component, the installation welding void deviation component and the installation solder amount deviation component are summarized as various installation deviation components.

5. The BIM-based building steel structure quality inspection data management system according to claim 4 is characterized by: The analysis of each installation position deviation component includes: Calculate the spatial coordinate deviation of each component position coordinate and its reference position coordinate using the Euclidean distance calculation formula; The position inclination angle of each component is subtracted from its reference inclination angle, and the absolute value of the difference is used as the position inclination deviation of each component; Compare the spatial coordinate deviation and position inclination deviation of each component with the corresponding spatial coordinate deviation threshold and position inclination deviation threshold in the installation standard data respectively; Components with a spatial coordinate deviation greater than a spatial coordinate deviation threshold or a position inclination deviation greater than a position inclination deviation threshold are determined to be components with installation position deviation, and then various components with installation position deviation are obtained.

6. The BIM-based building steel structure quality inspection data management system according to claim 4 is characterized by: The analysis of each installed welded lap deviation component includes: Performing relative deviation analysis on the weld overlap amount and the reference weld overlap amount to obtain the installation weld overlap deviation degree of each component and its adjacent components; Selecting the maximum value from the installation welding overlap deviations as the reference installation welding overlap deviation of each component; The reference installation welding overlap deviation is compared with its preset installation welding overlap deviation threshold, and components whose reference installation welding overlap deviation is greater than its preset installation welding overlap deviation threshold are taken as each installation welding overlap deviation component.

7. The BIM-based building steel structure quality inspection data management system according to claim 4 is characterized by: The analysis of each installed weld void deviation component includes: The maximum value among the weld void areas of the same component is selected as the maximum weld void area of ​​each component; The areas of each weld void of the same component are counted to obtain the total weld void area of ​​each component, and the ratio of the total weld void area to the weld area is used as the void ratio of each component. Comparing the maximum weld void area and void ratio with the corresponding weld void threshold and void ratio threshold in the weld void reference value, respectively; Components whose maximum weld void area is greater than the weld void threshold or whose void rate is greater than the void rate threshold are selected as components with weld void deviation in each installation.

8. The BIM-based building steel structure quality inspection data management system according to claim 4 is characterized by: The determination of whether the amount of solder installed on each component is deviated includes: Compare the solder amount with the reference solder amount range. If the solder amount is within the range, it is determined to be qualified. If the solder amount is not within the range, it is determined to be a solder amount deviation. If there is a solder amount deviation in the component, the component is judged to be a component with an installed solder amount deviation. Otherwise, the component is judged to be a component with a qualified installed solder amount.

9. The BIM-based building steel structure quality inspection data management system according to claim 1 is characterized by: The identification of abnormal components and corresponding abnormal types includes: Determine components with structural deviations or installation deviations as abnormal components, and then obtain each abnormal component; If only structural deviation exists in the abnormal component, the abnormality type is determined to be structural abnormality; If only installation deviation exists in the abnormal component, the abnormality type is determined to be installation abnormality; If there are structural deviations and installation deviations in the abnormal component, the abnormality type is determined to be a comprehensive abnormality.

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